Security Scan Report: bwj-whatsapp.com

Redirected to:
https://www.bing.com/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 37 IPs in 5 countries across 14 domains to perform 420 HTTP transactions. The main domain is bwj-whatsapp.com and was registered 1 week ago.

Submitted URL: https://bwj-whatsapp.com

Effective URL:
https://www.bing.com/
Redirected

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

This disposable or newly registered address only forwards visitors to a well-known site, a common way to hide a scam from security scanners — rated moderate risk on that basis.

Risk Factors (2)
JavaScript on the capture blocks DevTools, right-click and Ctrl+U (weak anti-analysis signal, not sufficient on its own)
Entry hostname bwj-whatsapp.com is unrelated to Bing and carries a single-source community abuse report, so the redirect path itself is unexplained
Safety Factors (2)
Final destination www.bing.com is the brand owner's established domain (#84 in Cisco Umbrella top 1M)
Standard Microsoft cookie-consent, privacy-policy and terms-of-use disclosures present
Domain age information unavailable

Details

Page Title

Suche – Microsoft Bing

Scan Type

public

Domain Name Analysis

Within the commercial generic top-level domain (.com), 'bwj-whatsapp.com' is registered with no subdomain. The core label 'bwj-whatsapp' covers 12 characters with two vowels and 9 consonants; it also includes 1 hyphen. Breaking it apart gives six words: b, w, j, what, s, app. Average segment length settles at 1 character. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bwj-whatsapp.com

Page Load Overview

2.43s
Total Load Time
8.4 MB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:de
Text Length:4,764 chars
Detector Agreement:80%

Website Classification

Primary Category

social media network67% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
67%
technology software
46%
government public service
38%
blog personal website
28%
corporate business
27%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2492.123.104.43Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
11156.234.58.211Hong Kong, Hong Kong
AS138415Yancy Limited
1123.207.210.139Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1123.53.40.224Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1123.45.99.48Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
11150.171.109.100Azure · CLOUDUnited States
AS8075Microsoft Corporation
11150.171.28.10Azure · CLOUDUnited States
AS8075Microsoft Corporation
114.150.223.114Azure · CLOUDDes Moines, Iowa, United States
AS8075Microsoft Corporation
1123.207.210.84Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1120.190.160.4Office365 · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
42037--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10B948D6AA441303E412B47D0E4DA5B0EB3275117EA864F20ED58D22C9BEDFDF1533A6E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:rMReJIHicUxkna8Y3WFbdkj18esy/azidKw/j9E+5XXolGCc:ueJIHLa8Y3WFbdkj18esy/azidK2JilO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:447034:MAAB1BCVYkA/EwmlTiwguCgTCJGpATcU0QQgAwFCLUg2DHWABEPCYRmwOCxh1QF4ACqgAMi7AGAABqBBJseE/iACSr9YQHBR

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Scan History

Scan history not available

Unable to load historical scan data